Rate My Professor Nan Zou

Dr. Nan Zou is a Lecturer in Statistics in the School of Mathematical and Physical Sciences within the Faculty of Science and Engineering at Macquarie University. He obtained his Ph.D. in Statistics from the University of California, San Diego in 2017, advised by Prof. Dimitris Politis, after earning an M.S. in Statistics from the same university in 2013. His undergraduate degree is a B.B.A. in Management Science from Renmin University of China in 2011. Before joining Macquarie University in 2020, Zou held a postdoctoral fellowship at the University of Toronto from 2017 to 2020, mentored by Prof. Stanislav Volgushev. At Macquarie, he contributes to teaching in units such as STAT8122 Time Series, STAT2114 Design of Surveys and Experiments, STAT8101 Sampling Design and Analysis, and others.

Zou's research focuses on time series analysis, generative modelling, extreme value theory, statistical inference for massive datasets, and statistical inference of dynamical systems. His publications appear in leading journals including the Annals of Statistics, Econometrics and Statistics, Journal of Nonparametric Statistics, and Statistics and Probability Letters. Key works include 'Multiple block sizes and overlapping blocks for multivariate time series extremes' (Annals of Statistics, 2021, with S. Volgushev and A. Bücher), 'Bootstrap seasonal unit root test under periodic variation' (Econometrics and Statistics, 2021, with D.N. Politis), 'Reweighted madogram-type estimator of Pickands dependence function' (Statistics and Probability Letters, 2023), 'Estimating POT second-order parameter for bias correction' (Journal of Nonparametric Statistics, 2024), and 'On a penalised likelihood approach for joint modelling of longitudinal covariates and partly interval-censored data' (Biometrical Journal, 2025, accepted, with A. Webb, S. Lo, and J. Ma). In 2023, he was recognized as a winner of the Faculty of Science and Engineering Award for Inter-School Collaboration.